Article(id=1242140468620899135, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140458881725214, articleNumber=null, orderNo=9, doi=10.3981/j.issn.1000-7857.2023.10.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1670428800000, receivedDateStr=2022-12-08, revisedDate=1676476800000, revisedDateStr=2023-02-16, acceptedDate=null, acceptedDateStr=null, onlineDate=1687742695843, onlineDateStr=2023-06-26, pubDate=1685203200000, pubDateStr=2023-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1687742695843, onlineIssueDateStr=2023-06-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078965570, creator=sys-migrate, updateTime=1774078965570, updator=sys-migrate, issue=Issue{id=1242140458881725214, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='10', pageStart='1', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078963249, creator=sys-migrate, updateTime=1774078963249, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=82, endPage=91, ext={EN=ArticleExt(id=1242140475671524198, articleId=1242140468620899135, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Modeling and verification of stability control strategy of train-train communication train control system based on SPTG, columnId=1242140471322026303, journalTitle=Science & Technology Review, columnName=Exclusive：Advanced train control technolog, runingTitle=null, highlight=null, articleAbstract=Next generation train control system（NGTC）based on Train-Train communication realizes highly efficient train tracking control through three control strategies of constant spacing, constant time interval, and dynamic headway. Since the leader train control is random in the platoon control, how to ensure the safety of the platoon in different control strategies is very important. This paper proposes a Train-Train communication control strategy modeling and verification method based on stochastic priced timed game（SPTG）. Firstly, according to the requirements of different control strategies, a platoon control model including a leader train and follower trains is established by using SPTG automata, and the stability is verified. Secondly, taking time as the cost function, Q-learning is used to obtain the optimal driving strategy of the platoon through the platoon's SPTG automata model. Finally, combined with multi-train operation tracking scenarios, the stability simulation optimization of the platoon is carried out. The result shows that the stability error of the platoon is smaller than that of the random operation of the platoon., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=uglqNPP4J0sPXSb/WQcuRw==, pdfFileSize=3731161, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=National Engineering Research Center of RailTransportation Operation and Control System, Beijing Jiaotong UniversityBeijing 100044, China, fund=null, authors=LU Wanli, LV Jidong^*, authorsList=LU Wanli, LV Jidong), CN=ArticleExt(id=1242140472932643679, articleId=1242140468620899135, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于随机价格时间博弈理论的车-车通信列控系统控制策略稳定性建模与验证, columnId=1242140469916934445, journalTitle=科技导报, columnName=专题：先进列控技术, runingTitle=null, highlight=null, articleAbstract=基于车-车通信的新型列控系统，通过等距离间隔、等时间间隔和变时距3种控制策略实现高效率的列车追踪控制。由于在车队控制中，领航车的控制具有随机性，如何保证不同控制策略中车队的稳定性至关重要。提出了一种基于随机价格时间博弈理论（stochastic priced timed game，SPTG）的车-车通信控制策略建模与验证方法。首先，针对不同控制策略要求，利用随机价格时间自动机，建立包含领航车和跟随车的车队控制模型，并进行稳定性验证；然后，以时间为成本函数，通过对建立车队随机价格时间博弈自动机模型，利用Q-learning强化学习方法得到车队的最优驾驶策略；最后，结合多车运行追踪场景，进行车队的稳定性仿真优化。结果表明：相比于车队的随机运行策略，该方法使得车队的稳定误差更小。, correspAuthors=null, authorNote=卢万里，博士研究生，研究方向为列车控制系统，电子信箱：luwanli@bjtu.edu.cn, correspAuthorsNote=吕继东（通信作者），教授，研究方向为轨道交通，电子信箱：jdlv@bjtu.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=hwNqwGH+TjL2aNj0Pswu5Q==, pdfFileSize=3731161, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=北京交通大学轨道交通运行控制系统国家工程研究中心，北京 100044, fund=国能铁路装备有限责任公司先进轨道交通综合试验研究基地方案研究项目（TZKY-21-16）；国家自然科学基金项目（52272329）；北京市自然基金项目（L211019，L201004）；中国国家铁路集团有限公司科技研究开发计划项目（L2021G003）, authors=卢万里，吕继东^*, authorsList=卢万里，吕继东)}, authors=null, keywords=[Keyword(id=1242140472500630361, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140468620899135, language=CN, orderNo=1, keyword=车-车通信), Keyword(id=1242140472567739227, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140468620899135, language=CN, orderNo=1, keyword=列控系统), Keyword(id=1242140472643236700, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140468620899135, language=CN, orderNo=1, keyword=随机价格时间博弈理论), Keyword(id=1242140472714539869, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140468620899135, language=CN, orderNo=1, keyword=稳定性), Keyword(id=1242140472790037342, tenantId=1146029695717560320, 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